Individual position diversity in dependence socioeconomic networks increases economic output

EPJ Data Science

Ming-Xia Li¹  Yan-Hong Yang²  Wen-Jie Xie²  Wei-Xing Zhou²  Zhi-Qiang Jiang² 

[1] Research Center for Econophysics, East China University of Science and Technology;School of Business, East China University of Science and Technology;

关键词: position diversity;    socioeconomic network;    network motif;    economic output;   

DOI  :  10.1140/epjds/s13688-017-0105-9

来源: DOAJ

【 摘 要 】

Abstract The availability of big data recorded from massively multiplayer online role-playing games (MMORPGs) allows us to gain a deeper understanding of the potential connection between individuals’ network positions and their economic outputs. We use a statistical filtering method to construct dependence networks from weighted friendship networks of individuals. We investigate the 30 distinct motif positions in the 13 directed triadic motifs which represent microscopic dependences among individuals. Based on the structural similarity of motif positions, we further classify individuals into different groups. The node position diversity of individuals is found to be positively correlated with their economic outputs. We also find that the economic outputs of leaf nodes are significantly lower than that of the other nodes in the same motif. Our findings shed light on understanding the influence of network structure on economic activities and outputs in socioeconomic systems.

【 授权许可】

Unknown